Staff Engineer, Data Infrastructure

This role is responsible for developing and implementing a strategy to drive data processing efficiency at Enigma. The main focus is on optimizing data transformations and improving processing time and computational cost. The ideal candidate should have strong technical leadership skills and expertise in Databricks and Spark. They will have the opportunity to make a significant impact on the company's ability to scale and influence the engineering culture. This role offers the challenge of solving complex technical problems and the opportunity to build and grow teams.

• Develop and implement a strategy for driving data processing efficiency
• Optimize data transformations through methodology and tooling
• Improve processing time and computational cost
• Show the team what good looks like in terms of data processing efficiency
• Provide coaching and mentorship to team members
• Lead engineers to increase the efficiency and speed of data processing systems
• Measure impact by the increase in capabilities of the team
• Deliver value in the short, medium, and long term
• Approach difficult data processing problems with a principled approach
• Demonstrate expertise and excellence in engineering craft
• Operate transparently, collaboratively, and with low ego
• Learn from others and welcome ideas being questioned and challenged
• Determine the speed at which the company can scale and impact the developer experience
• Take on technical problems and find solutions
• Build the team's capabilities and influence engineering culture
• Have a clear understanding of Databricks and Spark
• Provide expertise in data processing optimization, data modeling, cluster management, and Databricks performance techniques
• Demonstrate a track record of technical leadership to grow and scale teams

• Motivated by leading engineers to increase the efficiency and speed of complicated data processing systems
• Thrives as a coach and mentor and measures their impact by the increase in capabilities of the team
• Operates with a bias for action and knows how to deliver value in the short, medium, and long term
• Adopts a principled approach to difficult data processing problems and demonstrates expertise and excellence in their engineering craft
• Operates transparently, collaboratively, and with low ego—loves learning from others and having their ideas questioned and challenged
• Knows Databricks and Spark inside and out
• Brings a clear point of view on data processing optimization, data modeling, cluster management, and Databricks performance techniques
• Has a strong track record of technical leadership to grow and scale teams

• Competitive salary range of $180,000-$240,000
• Opportunity to work on transforming the small business financing ecosystem
• Chance to tackle technical challenges and optimize data processing efficiency
• Impact on the speed of scaling and developer experience
• Leadership role with the opportunity to build and influence the team's capabilities
• Access to a generous compensation package, including equity ownership in the company
• Equal opportunity workplace and affirmative action employer
• Collaborative and transparent work environment
• Opportunity to work with a diverse team of driven individuals
• Chance to contribute to the future of financial services through engineering deeper understanding through data